Https://nicelydone.club is an inspiration library of web apps. Source: 6 months ago

Nicely Done Club: Honestly, I found about this while also searching for more websites for this document, but I’m in love with it and definitely going to look more to this. Def. Check this out. Great for UX and understanding conversion principles. Source: 11 months ago

Step 2: Understand UI design. Https://www.interaction-design.org/literature/topics/ui-design Https://uxplanet.org/what-is-ui-vs-ux-design-and-the-difference-d9113f6612de Visual Understanding Https://mobbin.com/browse/android/apps Https://pageflows.com/ Https://godly.website/ Https://nicelydone.club/. - Source: dev.to / over 1 year ago

I upload and classify everything on Nicelydone (https://nicelydone.club). Source: about 2 years ago

I’m running Nicelydone that is exactly this. I’m taking screenshots of both marketing part and product part (everything behind a login/signup page) of web applications. Source: about 2 years ago

It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago

Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago